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INTEGRATED DATA PROCESSING METHODOLOGY FOR AIRBORNE REPEATPASS DIFFERENTIAL SAR INTERFEROMETRY

机译:用于空气传输重复差分SAR干涉法的集成数据处理方法

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Short temporal baseline and multiple ground deformation information can be derived from the airborne differential synthetic aperture radar Interforemetry (D-InSAR). However, affected by the turbulence of the air, the aircraft would deviate from the designed flight path with high frequent vibrations and changes both in the flight trajectory and attitude. Restricted by the accuracy of the position and orientation system (POS), these high frequent deviations can not be accurately reported, which would pose great challenges in motion compensation and interferometric process. Thus, these challenges constrain its wider applications. The objective of this paper is to investigate the accurate estimation and compensation of the residual motion errors in the airborne SAR imagery and time-varying baseline errors between the diffirent data acquirations, furthermore, to explore the integration data processing theory for the airborne D-InSAR system, and thus help to accomplish the correct derivation of the ground deformation by using the airborne D-InSAR measurements.
机译:短时间基线和多个地变形信息可以从空中差分合成孔径雷达互换性(D-Insar)衍生。然而,受到空气湍流的影响,飞机将偏离设计的飞行路径,在飞行轨迹和态度中具有高频繁的振动和变化。通过位置和方向系统(POS)的准确性限制,无法准确地报告这些高频繁的偏差,这将在运动补偿和干涉过程中提出巨大的挑战。因此,这些挑战限制了其更广泛的应用。本文的目的是研究空中SAR图像中的剩余运动误差的准确估计和补偿,并且在不同的数据获取之间的时变基线误差,此外,探讨了空降的集成数据处理理论系统,从而有助于通过使用空气传播的D-Insar测量来实现地面变形的正确推导。

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